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  • Ackerman MJ, Siegel, E, Wood, F. Interactive Science Publishing: A joint OSA-NLM project. Information Services & Use. 2010 Jan-Feb;30:39-50. DOI: 10.3233/ISU-2010-0612.
  • Bennett A, Liu J, Van Ryk D, Bliss D, Arthos J, Henderson RM, Subramaniam S. Cryoelectron Tomographic Analysis of an HIV-neutralizing Protein and Its Complex with Native Viral gp120 J Biol Chem. 2007 Sep 21;282(38):27754-9. Epub 2007 Jun 28
  • Chachra S, Ben Abacha A, Shooshan SE, Rodriguez L, Demner-Fushman D. A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers: 1093-1100.
  • Chen S, Misra D, Thoma GR. Efficient Automatic OCR Word Validation Using Word Partial Format Derivation and Language Model Document Recognition and Retrieval XVII. Proceedings of the SPIE. San Jose, CA. January 2010;7534:75340O-75340O-8
  • Chen S, Mao S, Thoma GR. Simultaneous Layout Style and Logical Entity Recognition in a Heterogeneous Collection of Documents Proc ICDAR2007. Curitiba, Brazil; September 2007, pp. 118-22
  • De Herrera A, Schaer R, Antani SK, Müller H. Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation. In: Carneiro G. et al. (eds) Deep Learning and Data Labeling for Medical Applications. LABELS 2016, DLMIA 2016. Lecture Notes in Computer Science, vol 10008. Springer, Cham
  • Deckard J, McDonald CJ, Vreeman DJ. Supporting interoperability of genetic data with LOINC. J Am Med Inform Assoc. 2015 May;22(3):621-7. doi: 10.1093/jamia/ocu012. Epub 2015 Feb 5.
  • Demner-Fushman D, Lin J. Answering Clinical Questions with Knowledge-based and Statistical Techniques Computational Linguistics. 2007 Jan;33(1):63-103
  • Demner-Fushman D, Few B, Hauser SE, Thoma GR. Automatically Identifying Health Outcome Information in MEDLINE Records J Am Med Inform Assoc. 2006 Jan-Feb;13(1):52-60. Epub 2005 Oct 12.
  • Ford G, Thoma GR. Ground Truth Data for Document Image Analysis Proceedings of 2003 Symposium on Document Image Understanding and Technology. 2003 April 9-11;: 199-205.
  • Ford G, Hauser SE, Le DX, Thoma GR. Pattern Matching Techniques for Correcting Low Confidence OCR Words in a Known Context Proc. SPIE., Document Recognition and Retrieval VIII. 2001 Jan;4307:241-9.
  • Hauser SE, Le DX, Thoma GR. Automated Zone Correction in Bitmapped Document Images SPIE: Document Recognition and Retrieval VII. 2000 Jan;3976: 248-58.
  • Hauser SE, Sabir TF, Thoma GR. OCR Correction Using Historical Relationships from Verified Text in Biomedical Citations Proc. of 2003 Symposium on Document Image Understanding Technology. College Park MD: Institute for Advanced Computer Studies, University of Maryland. 2003 April;: 171-7.
  • Hauser SE, Schlaifer J, Sabir TF, Demner-Fushman D, Thoma GR. Correcting OCR Text by Association with Historic Datasets Proc. SPIE Electronic Imaging. 2003 Jan;5010: 84-93.
  • Hsu W, Long LR, Antani SK. SPIRS: A Framework for Content-based Image Retrieval from Large Biomedical Databases Stud Health Technol Inform. 2007;129(Pt 1):188-92.
  • Ide NC, Loane RF, Demner-Fushman D. Essie: A Concept-based Search Engine for Structured BiomedicalText J Am Med Inform Assoc. 2007 May-Jun;14(3):253-63. Epub 2007 Feb 28
  • Kanungo T, Mao S. Stochastic Language Model for Style-Directed Physical Layout Analysis of Documents IEEE Transactions on Image Processing. 2003 May;12 (5)5:583-596.
  • Kayaalp M, Browne AC, Dodd ZA, Sagan P, McDonald CJ. An Easy-to-Use Clinical Text De-identification Tool for Clinical Scientists: NLM Scrubber [Poster]. Proceedings of the Annual American Medical Informatics Association Fall Symposium: 1522.
  • Kim I, Thoma GR. Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural Network. Proc. 14th Int’l Conf. Machine Learning and Data Mining (MLDM 2018), LNAI 10934, pp. 99-112, Newark, NJ, July 2018.
  • Kim I, Thoma GR. Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural Network. Proc. 14th Int’l Conf. Machine Learning and Data Mining (MLDM 2018), LNAI 10934, pp. 99-112, Newark, NJ, July 2018.
  • Kim I, Thoma GR. Machine Learning with Selective Word Statistics for Automated Classification of Citation Subjectivity in Online Biomedical Articles. Proc. Int’l Conf. Artificial Intelligence (ICAI’17), pp. 201-207, Las Vegas, July 2017.
  • Kim I, Thoma GR. Automated Classification of Author’s Sentiments in Citation Using Machine Learning Techniques: A Preliminary Study. Proc. the 2015 IEEE Conf. Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2015), Niagara Falls, Canada, Aug. 12-15, 2015.
  • Kim I, Le DX, Thoma GR. Automated method for extracting "citation sentences" from online biomedical articles using SVM-based text summarization technique. Proc. the 2014 IEEE Int'l Conf. on Systems, Man, and Cybernetics (SMC 2014), pp. 2006-2011, San Diego, October, 2014
  • Kim I, Le DX, Thoma GR. Identifying “comment-on” citation data in online biomedical articles using SVM-based text summarization technique. Proc. Int’l Conf. Artificial Intelligence (ICAI’12), vol. 1, pp. 431-437, Las Vegas, July 2012.
  • Kim I, Le DX, Thoma GR. Automated identification of biomedical article type using support vector machines. Proc. 18th SPIE Document Recognition and Retrieval, 7874:787403 (1-9), San Francisco, January 2011.

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